Yuan, Xiaoyong

8 publications

TMLR 2026 OracleTSC: Oracle-Informed Reward Hurdle and Uncertainty Regularization for Traffic Signal Control Darryl C. Jacob, Xinyu Liu, Muchao Ye, Xiaoyong Yuan, Pan He

NeurIPS 2024 A Single-Step, Sharpness-Aware Minimization Is All You Need to Achieve Efficient and Accurate Sparse Training Jie Ji, Gen Li, Jingjing Fu, Fatemeh Afghah, Linke Guo, Xiaoyong Yuan, Xiaolong Ma

IJCAI 2024 BadFusion: 2D-Oriented Backdoor Attacks Against 3D Object Detection Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan

ECML-PKDD 2024 Individual Fairness with Group Awareness Under Uncertainty Zichong Wang, Jocelyn Dzuong, Xiaoyong Yuan, Zhong Chen, Yanzhao Wu, Xin Yao, Wenbin Zhang

WACV 2024 PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan

NeurIPSW 2023 BadFusion: 2D-Oriented Backdoor Attacks Against 3D Object Detection Saket Sanjeev Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan

ICMLW 2023 Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang

AAAI 2019 Generalized Batch Normalization: Towards Accelerating Deep Neural Networks Xiaoyong Yuan, Zheng Feng, Matthew Norton, Xiaolin Li